8 papers
CoT-Seg: Rethinking Segmentation with Chain-of-Thought Reasoning and Self-Correction
Shiu-hong Kao, Chak Ho Huang, Huaiqian Liu +2
Existing works of reasoning segmentation often fall short in complex cases, particularly when addressing complicated queries and out-of-domain images. Inspired by the chain-of-thou…
CoT-RVS: Zero-Shot Chain-of-Thought Reasoning Segmentation for Videos
Shiu-hong Kao, Yu-Wing Tai, Chi-Keung Tang
Reasoning Video Object Segmentation is a challenging task, aiming at generating a mask sequence from an input video given a complex and implicit text query. While existing works fi…
StreamGS: Online Generalizable Gaussian Splatting Reconstruction for Unposed Image Streams
Yang LI, Jinglu Wang, Lei Chu +4
The advent of 3D Gaussian Splatting (3DGS) has advanced 3D scene reconstruction and novel view synthesis. With the growing interest of interactive applications that need immediate…
Think Before You Segment: High-Quality Reasoning Segmentation with GPT Chain of Thoughts
Shiu-hong Kao, Yu-Wing Tai, Chi-Keung Tang
Reasoning segmentation is a challenging vision-language task that aims to output the segmentation mask with respect to a complex, implicit, and even non-visual query text. Previous…
Beyond and Free from Diffusion: Invertible Guided Consistency Training
Chia-Hong Hsu, Shiu-hong Kao, Randall Balestriero
Guidance in image generation steers models towards higher-quality or more targeted outputs, typically achieved in Diffusion Models (DMs) via Classifier-free Guidance (CFG). However…
UVRM: A Scalable 3D Reconstruction Model from Unposed Videos
Shiu-hong Kao, Xiao Li, Jinglu Wang +4
Large Reconstruction Models (LRMs) have recently become a popular method for creating 3D foundational models. Training 3D reconstruction models with 2D visual data traditionally re…